{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Single Transmon - Floating with charge lines \n",
    "\n",
    "We'll be creating a 2D design and adding a single transmon qcomponent with charge lines.\n",
    "\n",
    " Create a standard pocket transmon qubit with charge lines for a ground plane,\n",
    "        with two pads connected by a junction."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# So, let us dive right in. For convenience, let's begin by enabling\n",
    "# automatic reloading of modules when they change.\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import qiskit_metal as metal\n",
    "from qiskit_metal import designs, draw\n",
    "from qiskit_metal import MetalGUI, Dict, open_docs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Each time you create a new quantum circuit design, \n",
    "# you start by instantiating a QDesign class. \n",
    "\n",
    "# The design class `DesignPlanar` is best for 2D circuit designs.\n",
    "\n",
    "design = designs.DesignPlanar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Launch Qiskit Metal GUI to interactively view, edit, and simulate QDesign: Metal GUI\n",
    "gui = MetalGUI(design)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# To force overwrite a QComponent with an existing name.  \n",
    "# This is useful when re-running cells in a notebook. \n",
    "design.overwrite_enabled = True"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### A transmon qubit\n",
    "You can create a ready-made transmon qubit with charge lines from the QComponent Library, `qiskit_metal.qlibrary.qubits`. \n",
    "`transmon_pocket_cl.py` is the file containing our qubit so `transmon_pocket_cl` is the module we import. \n",
    "The `TransmonPocketCL` class is our transmon qubit. Like all quantum components, `TransmonPocketCL` inherits from `QComponent`. \n",
    "\n",
    " Connector lines can be added using the `connection_pads` dictionary. \n",
    " Each connector pad has a name and a list of default properties."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'pos_x': '0um',\n",
       " 'pos_y': '0um',\n",
       " 'connection_pads': {},\n",
       " '_default_connection_pads': {'pad_gap': '15um',\n",
       "  'pad_width': '125um',\n",
       "  'pad_height': '30um',\n",
       "  'pad_cpw_shift': '5um',\n",
       "  'pad_cpw_extent': '25um',\n",
       "  'cpw_width': 'cpw_width',\n",
       "  'cpw_gap': 'cpw_gap',\n",
       "  'cpw_extend': '100um',\n",
       "  'pocket_extent': '5um',\n",
       "  'pocket_rise': '65um',\n",
       "  'loc_W': '+1',\n",
       "  'loc_H': '+1'},\n",
       " 'chip': 'main',\n",
       " 'pad_gap': '30um',\n",
       " 'inductor_width': '20um',\n",
       " 'pad_width': '455um',\n",
       " 'pad_height': '90um',\n",
       " 'pocket_width': '650um',\n",
       " 'pocket_height': '650um',\n",
       " 'orientation': '0',\n",
       " 'make_CL': True,\n",
       " 'cl_gap': '6um',\n",
       " 'cl_width': '10um',\n",
       " 'cl_length': '20um',\n",
       " 'cl_ground_gap': '6um',\n",
       " 'cl_pocket_edge': '0',\n",
       " 'cl_off_center': '50um',\n",
       " 'hfss_wire_bonds': False,\n",
       " 'q3d_wire_bonds': False,\n",
       " 'hfss_inductance': '10nH',\n",
       " 'hfss_capacitance': 0,\n",
       " 'hfss_resistance': 0,\n",
       " 'hfss_mesh_kw_jj': 7e-06,\n",
       " 'q3d_inductance': '10nH',\n",
       " 'q3d_capacitance': 0,\n",
       " 'q3d_resistance': 0,\n",
       " 'q3d_mesh_kw_jj': 7e-06,\n",
       " 'gds_cell_name': 'my_other_junction'}"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from qiskit_metal.qlibrary.qubits.transmon_pocket_cl import TransmonPocketCL\n",
    "\n",
    "# Be aware of the default_options that can be overridden by user.\n",
    "TransmonPocketCL.get_template_options(design)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "transmon_options = dict(\n",
    "    pos_x = '1mm',\n",
    "    pos_y = '2mm',\n",
    "    orientation = '90',\n",
    "    \n",
    "    connection_pads=dict(\n",
    "        a = dict(loc_W=+1, loc_H=-1, pad_width='70um', cpw_extend = '50um'), \n",
    "        b = dict(loc_W=-1, loc_H=-1, pad_width='125um', cpw_extend = '50um', pad_height='60um'),\n",
    "        c = dict(loc_W=+1, loc_H=+1, pad_width='110um', cpw_extend = '50um')\n",
    "    ),\n",
    "    \n",
    "    gds_cell_name='FakeJunction_01',\n",
    ")\n",
    "\n",
    "# Create a new Transmon Pocket object with name 'Q1' \n",
    "q1 = TransmonPocketCL(design, 'Q1', options=transmon_options)\n",
    "\n",
    "gui.rebuild()  # rebuild the design and plot \n",
    "gui.autoscale() # resize GUI to see QComponent \n",
    "gui.zoom_on_components(['Q1']) #Can also gui.zoom_on_components([q1.name]) \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's see what the Q1 object looks like"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\u001b[95m\u001b[1mname:    \u001b[94m\u001b[1mQ1\u001b[0m\n",
       "\u001b[95m\u001b[1mclass:   \u001b[94m\u001b[1mTransmonPocketCL      \u001b[0m\n",
       "\u001b[95m\u001b[1moptions: \u001b[0m\n",
       "  'pos_x'             : '1mm',                        \n",
       "  'pos_y'             : '2mm',                        \n",
       "  \u001b[1m'connection_pads'   \u001b[0m: {\n",
       "       \u001b[1m'a'                 \u001b[0m: {\n",
       "            'pad_gap'           : '15um',                       \n",
       "            'pad_width'         : '70um',                       \n",
       "            'pad_height'        : '30um',                       \n",
       "            'pad_cpw_shift'     : '5um',                        \n",
       "            'pad_cpw_extent'    : '25um',                       \n",
       "            'cpw_width'         : 'cpw_width',                  \n",
       "            'cpw_gap'           : 'cpw_gap',                    \n",
       "            'cpw_extend'        : '50um',                       \n",
       "            'pocket_extent'     : '5um',                        \n",
       "            'pocket_rise'       : '65um',                       \n",
       "            'loc_W'             : 1,                            \n",
       "            'loc_H'             : -1,                           \n",
       "                             },\n",
       "       \u001b[1m'b'                 \u001b[0m: {\n",
       "            'pad_gap'           : '15um',                       \n",
       "            'pad_width'         : '125um',                      \n",
       "            'pad_height'        : '60um',                       \n",
       "            'pad_cpw_shift'     : '5um',                        \n",
       "            'pad_cpw_extent'    : '25um',                       \n",
       "            'cpw_width'         : 'cpw_width',                  \n",
       "            'cpw_gap'           : 'cpw_gap',                    \n",
       "            'cpw_extend'        : '50um',                       \n",
       "            'pocket_extent'     : '5um',                        \n",
       "            'pocket_rise'       : '65um',                       \n",
       "            'loc_W'             : -1,                           \n",
       "            'loc_H'             : -1,                           \n",
       "                             },\n",
       "       \u001b[1m'c'                 \u001b[0m: {\n",
       "            'pad_gap'           : '15um',                       \n",
       "            'pad_width'         : '110um',                      \n",
       "            'pad_height'        : '30um',                       \n",
       "            'pad_cpw_shift'     : '5um',                        \n",
       "            'pad_cpw_extent'    : '25um',                       \n",
       "            'cpw_width'         : 'cpw_width',                  \n",
       "            'cpw_gap'           : 'cpw_gap',                    \n",
       "            'cpw_extend'        : '50um',                       \n",
       "            'pocket_extent'     : '5um',                        \n",
       "            'pocket_rise'       : '65um',                       \n",
       "            'loc_W'             : 1,                            \n",
       "            'loc_H'             : 1,                            \n",
       "                             },\n",
       "                        },\n",
       "  'chip'              : 'main',                       \n",
       "  'pad_gap'           : '30um',                       \n",
       "  'inductor_width'    : '20um',                       \n",
       "  'pad_width'         : '455um',                      \n",
       "  'pad_height'        : '90um',                       \n",
       "  'pocket_width'      : '650um',                      \n",
       "  'pocket_height'     : '650um',                      \n",
       "  'orientation'       : '90',                         \n",
       "  'make_CL'           : True,                         \n",
       "  'cl_gap'            : '6um',                        \n",
       "  'cl_width'          : '10um',                       \n",
       "  'cl_length'         : '20um',                       \n",
       "  'cl_ground_gap'     : '6um',                        \n",
       "  'cl_pocket_edge'    : '0',                          \n",
       "  'cl_off_center'     : '50um',                       \n",
       "  'hfss_wire_bonds'   : False,                        \n",
       "  'q3d_wire_bonds'    : False,                        \n",
       "  'hfss_inductance'   : '10nH',                       \n",
       "  'hfss_capacitance'  : 0,                            \n",
       "  'hfss_resistance'   : 0,                            \n",
       "  'hfss_mesh_kw_jj'   : 7e-06,                        \n",
       "  'q3d_inductance'    : '10nH',                       \n",
       "  'q3d_capacitance'   : 0,                            \n",
       "  'q3d_resistance'    : 0,                            \n",
       "  'q3d_mesh_kw_jj'    : 7e-06,                        \n",
       "  'gds_cell_name'     : 'FakeJunction_01',            \n",
       "\u001b[95m\u001b[1mmodule:  \u001b[94m\u001b[1mqiskit_metal.qlibrary.qubits.transmon_pocket_cl\u001b[0m\n",
       "\u001b[95m\u001b[1mid:      \u001b[94m\u001b[1m1\u001b[0m"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "q1 #print Q1 information"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Save screenshot as a .png formatted file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "width": 500
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "gui.screenshot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "tags": [
     "nbsphinx-thumbnail"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "width": 500
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Screenshot the canvas only as a .png formatted file.\n",
    "gui.figure.savefig('shot.png')\n",
    "\n",
    "from IPython.display import Image, display\n",
    "_disp_ops = dict(width=500)\n",
    "display(Image('shot.png', **_disp_ops))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Closing the Qiskit Metal GUI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gui.main_window.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "celltoolbar": "Tags",
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
